LDB18
Gene Ontology Biological Process
Gene Ontology Cellular Component
KIP3
Gene Ontology Biological Process
- establishment of mitotic spindle orientation [IGI, IMP]
- mitotic spindle disassembly [IMP]
- mitotic spindle organization in nucleus [IGI, IMP]
- negative regulation of microtubule polymerization [IMP]
- nuclear migration along microtubule [IMP]
- plus-end specific microtubule depolymerization [IDA]
- regulation of mitotic spindle elongation [IMP]
- spindle assembly involved in mitosis [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Negative Genetic
Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores.
Publication
Systematic analysis of complex genetic interactions.
To systematically explore complex genetic interactions, we constructed ~200,000 yeast triple mutants and scored negative trigenic interactions. We selected double-mutant query genes across a broad spectrum of biological processes, spanning a range of quantitative features of the global digenic interaction network and tested for a genetic interaction with a third mutation. Trigenic interactions often occurred among functionally related genes, and ... [more]
Quantitative Score
- -0.699318 [Confidence Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Digenic interaction: Query allele name: ho-delta+ldb18-delta; Array allele name: kip3-delta (GI score = -0.699318, p-value = 3.05E-29; Digenic)
- Digenic interactions in this Synthetic genetic array (SGA) analysis were considered to be significant when epsilon > 0.08 and p < 0.05 (positive genetic interaction) and when epsilon < -0.08 and p < 0.05 (negative genetic interaction).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| LDB18 KIP3 | Negative Genetic Negative Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores. | High | -0.5684 | BioGRID | 396121 | |
| KIP3 LDB18 | Negative Genetic Negative Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores. | High | -0.5684 | BioGRID | 378792 | |
| LDB18 KIP3 | Negative Genetic Negative Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores. | High | -0.4432 | BioGRID | 2148619 | |
| KIP3 LDB18 | Negative Genetic Negative Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores. | High | -0.615 | BioGRID | 2118346 | |
| LDB18 KIP3 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | Low | - | BioGRID | 265928 | |
| KIP3 LDB18 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | High | - | BioGRID | 110449 |
Curated By
- BioGRID